Senior Data Engineer – Databricks - 1613

aKube Inc • Los Angeles, CA

53d • $82 - $89 • Hybrid

About The Position

We are seeking a Senior Data Engineer with expertise in Databricks and Snowflake to join our team. This hybrid role involves designing, building, and optimizing large-scale data pipelines, ETL/ELT frameworks, and data models. The ideal candidate will have a strong background in SQL, distributed data processing, data modeling, and experience with data ingestion, migrations, and orchestration tools. You will be responsible for ensuring data quality, governance, and observability across our data platforms.

Requirements

• Databricks and Snowflake for data platforms
• Spark or PySpark with Python for batch processing
• Advanced SQL with query tuning, partitioning, clustering
• Data modeling using star, snowflake, SCD, OBT, normalized models
• Experience with Medallion architecture
• Data ingestion pipelines and large-scale migrations
• Orchestration tools for data workflows
• Data platform debugging and observability
• 7+ years in data engineering or data platform roles
• Strong hands-on experience with Databricks or Snowflake
• Deep expertise in SQL and distributed data processing
• Experience building scalable data models and architectures
• Proven experience with large-scale data migrations
• Bachelor’s degree in Computer Science or related field

Nice To Haves

• Experience with ML data pipelines and feature engineering
• Exposure to streaming frameworks like Kafka
• Knowledge of cloud platforms like AWS, Azure, or GCP
• Experience with data governance tools and frameworks

Responsibilities

• Design and build large-scale data pipelines for ingestion and transformation
• Develop ETL and ELT frameworks using Databricks and Spark
• Optimize SQL queries and improve data performance
• Build and maintain scalable data models across lakehouse platforms
• Lead data migration efforts across systems and environments
• Implement orchestration for reliable data workflows
• Monitor data pipelines and resolve production issues
• Ensure governance, data quality, and observability across platforms

What This Job Offers

• Job Type: Full-time
• Career Level: Senior